Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A visualization method of network big data based on materialized cache

A big data and network technology, applied in the field of data visualization, can solve problems such as unanalyzable analysis methods, time-consuming manual data processing, complexity of big data growth, etc., and achieve the effect of rapid analysis and processing of problems

Active Publication Date: 2021-04-13
杭州志远科技有限公司
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In this case, the human eye often cannot directly read the hidden information from a large amount of data information, and it is not easy to see the development trend of a certain thing from a large amount of information.
However, the traditional data processing method is manual data processing. Although this method is easy to implement, manual data processing is time-consuming and laborious. Due to the characteristics of large volume, fast generation speed, and data variety, big data presents a growing complexity. , leading to the traditional analysis method has been unable to analyze it correctly

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0031] Embodiment: a method for visualizing network big data based on materialized cache, step 1, determine the time period: obtain a predefined time period according to user requirements;

[0032] Step 2, determine the network big data search time period: search the data of network big data according to the information of the predefined time period;

[0033] Step 3, collect network big data: automatically retrieve and collect data in various formats from the Internet according to a predefined time period, and package them as source data, read the source data and store it in the original database as the original maintenance data;

[0034] Step 4, processing and analyzing the original maintenance data: performing data cleaning, data extraction and data restoration conversion on the original maintenance data, and finally forming condition-based maintenance data;

[0035] Step five, analyze the condition-based maintenance data: use professional data analysis methods to analyze t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a materialized cache-based network big data visualization method, which includes the following steps: according to user needs, obtain a predefined time period, search for network big data data for the predefined time period information, and As the source data, the original maintenance data is converted into data cleaning, data extraction and data repair, and finally forms condition-based maintenance data. The condition-based maintenance data is analyzed and cached in the cache database. Based on Ajax technology and Webservice technology, the The network big data in the cache database is exchanged for network data, and the exchanged network big data is transmitted to the browser, and the network big data transmitted to the browser is visualized, and finally the cached visualized network big data is materialized to form a visualization Network big data A; this method can also compare network big data on the basis of solving the traditional data processing method, which is time-consuming and laborious, and cannot be analyzed correctly.

Description

technical field [0001] The invention relates to the technical field of data visualization, in particular to a materialized cache-based network big data visualization method. Background technique [0002] In the current information age, the growth rate of data scale far exceeds our expectations. There are a large amount of transaction data, social information, text information, picture files, video files, email information, audio information and Internet interactive information. In this case, the human eye often cannot directly read the hidden information from a large amount of data information, and it is not easy to see the development trend of a certain thing from a large amount of information. However, the traditional data processing method is manual data processing. Although this method is easy to implement, manual data processing is time-consuming and laborious. Due to the characteristics of large volume, fast generation speed, and data variety, big data presents a growi...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535G06F16/957
Inventor 李明江李爱丹刘晓锋魏平
Owner 杭州志远科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com